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Found 5 papers, 1 papers with code
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty
Probabilistic predictions from neural networks which account for predictive uncertainty during classification is crucial in many real-world and high-impact decision making settings.
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
We elaborate on the different problematic characteristics of time series such as non-normalities and non-stationarities and how they are associated with common pitfalls in forecast evaluation.
Estimating Sleep & Work Hours from Alternative Data by Segmented Functional Classification Analysis (SFCA)
Alternative data is increasingly adapted to predict human and economic behaviour.
Object Recognition for Economic Development from Daytime Satellite Imagery
Reliable data about the stock of physical capital and infrastructure in developing countries is typically very scarce.
The Internet as Quantitative Social Science Platform: Insights from a Trillion Observations
With the large-scale penetration of the internet, for the first time, humanity has become linked by a single, open, communications platform.
